data consultant

Muller's Solutions

<div>M&uuml;ller's Solutions is looking for a skilled Revenue Data Consultant to join our team. In this role, you will be responsible for analyzing and optimizing revenue data to support strategic business initiatives. You will work closely with finance, sales, and marketing teams to ensure accurate revenue reporting and forecasting. Your insights will play a critical role in driving revenue growth and improving overall financial performance.
Responsibilities:<ul>
<li>Analyze revenue data to identify trends, anomalies, and opportunities for improvement.</li>
<li>Develop and maintain revenue forecasting models to support business planning.</li>
<li>Collaborate with cross-functional teams to gather revenue-related data and ensure accuracy in reporting.</li>
<li>Design and implement metrics and KPIs for tracking revenue performance.</li>
<li>Provide insights and recommendations based on data analysis to enhance revenue generation strategies.</li>
<li>Prepare and present reports on revenue performance to stakeholders.</li>
<li>Stay updated with industry trends and best practices in revenue management and analytics.</li>
<li>Support ad-hoc analyses and special projects related to revenue management.</li> 
</ul> 
 
Requirements 
 
Requirements:<ul>
<li>Bachelor's degree in Finance, Accounting, Data Science, or a related field.</li>
<li>Proven experience as a Revenue Data Consultant or in a similar analytical role.</li>
<li>Strong analytical skills with a focus on revenue analysis and forecasting.</li>
<li>Proficiency in data analysis tools and software, such as Excel, SQL, or BI tools.</li>
<li>Experience with financial modeling and revenue recognition practices.</li>
<li>Excellent attention to detail and problem-solving abilities.</li>
<li>Strong communication skills, with the ability to present complex data to non-technical stakeholders.</li>
<li>Ability to work collaboratively in a fast-paced environment.</li>
<li>Experience in the same or related industry is a plus.</li> 
</ul> 
 
Benefits 
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Revenue Data Consultant

Penn Medicine

<div>Description
Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines. 
 
Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work? 
Job Title: Data Consultant
Department: MED-O-HSPMED
Location: Hospital of the University of Pennsylvania- 3400 Spruce St
Hours: Full Time
Summary:
The Data Consultant for the Division of Hospital Medicine gathers, analyzes, and reports data from UPHS information systems to support clinical operations across multiple sites, including The Hospital of the University of Pennsylvania, Penn Presbyterian Medical Center, and Good Shepherd Penn Partners. This role drives data analysis initiatives to inform operational, quality, and research efforts, collaborating with leadership and stakeholders to provide timely, accurate and actionable insights.
Primary responsibilities include developing and leading data analysis programs for hospital-based physicians and APPs, crafting creative analytic solutions, and clearly communicating findings. The role also involves close collaboration with key analytics teams across clinical, quality and information systems and may require participation in UPHS-wide data committees and initiatives.
This hybrid position includes on-site requirements at The Hospital of the University of Pennsylvania and demands strong communication, organizational and analytical skills. 
Responsibilities: 

Subject Matter Expertise: 
<ul><li>
Maintains or obtains Epic Caboodle and Clarity certifications to help serve the greater Penn DnA community and the division.</li>
Must be efficient in SQL query authoring. 
<li>
 
</li></ul> 
Data Governance: 
<ul><li>
Promotes adoption of standard data definitions and usage across analyst teams.</li><li>
Supports data definition and data dictionary development, helping guide the division move towards a common definition in any applicable situation.</li></ul>
Problem Framing and Decision Quality: 
<ul><li>
Helps business users reframe needs into robust data deliverables keeping in mind data governance work.</li><li>
Strives for high decision quality by thinking ahead and informing stakeholders for success.</li></ul>
Other Tasks: 
<ul><li>
Collaborates effectively with Information Services and other data teams in the organizations as required.
</li><li>Works toward problem resolution breaking down barriers between teams.</li><li>
Serves as an expert in analytics and analysis</li><li>
Participates in UPHS data related committees</li><li>
Participates in UPHS-wide Hospital Medicine initiatives</li><li>
Collaborates with applicable entity-based quality improvement teams</li><li>
Works in conjunction with physician and APP leadership</li><li>
Creates data presentations to help guide clinical and administrative decision making</li><li>
Works with minimal supervision to collect, monitor and analyze data</li></ul>
Education or Equivalent Experience: 
<ul><li>
Bachelor of Arts or Science (Required)</li><li>
Education Specialization: Computer Science, Business Administration, Health Information Management (Preferred)</li><li>
4+ years Experience in the health care industry in some combination of the following: physician practice operations, clinical analytics, health plan, multi-facility health system, or accountable care organization (ACO) settings&bull;And Prior work experience with EMR data (Epic, Cerner, Meditech, etc.)</li></ul>
We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives. 
 
Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.</div>

Data Consultant - MED-O-HSPMED

CNA Insurance

<div><div>You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.</div><div></div>
The Actuarial Data Management team is seeking an experienced business analyst professional to help deliver innovative data solutions. This role offers the opportunity to apply deep analytical, technical, and business partnership skills while working closely with actuarial and business stakeholders. 
 
The successful candidate will collaborate with business partners to analyze complex datasets, create data visualizations, and deliver timely, accurate, and standardized information using enterprise tools and technologies, including the Google Cloud platform and Power BI. 
 
The ideal candidate will have a business or data analyst background in Data Management, Actuarial, Finance, or a related field, along with strong technical skills such as SQL proficiency. This role enhances the team&rsquo;s ability to deliver data and technology in support of Actuarial Data Management goals and supports ongoing modernization initiatives by leveraging cloud and AI enabled technologies to improve efficiency, data quality, and insight generation. 
 
Candidates at both the Consultant and Senior Analyst level will be considered, position level will be determined based on qualifications. 
 
This position enjoys a flexible, hybrid work schedule of 2 days per week in the CNA Chicago, IL office location.<div></div><div>
JOB DESCRIPTION:</div><div></div><div>
Essential Duties &amp; Responsibilities</div><div>
Performs a combination of duties in accordance with departmental guidelines:</div><ul><li>
Evaluates defined client area requirements and processes for application changes to data values or complex structures. Performs data analysis, develops recommendations and approves requests to ensure that changes comply with corporate data policy and/or reporting needs. Designs high level, functional and detailed designs for data solutions. Consults with client and application areas to analyze data usage and end-to-end system capabilities, identifies risks, recommends and/or executes resolution.</li><li>
Drives accountability for data integrity by developing and executing necessary processes and controls around the flow of data.</li><li>
Collaborates with management, technical staff and subject matter advisors to understand business needs/issues, troubleshoot problems, conduct root cause analysis and develop cost effective resolutions for data anomalies.</li><li>
Participates in integrated data architecture discussions and recommends use of existing or new data elements that will enhance current systems and support overall corporate and business goals. Remains externally focused by providing technical consultation to clients and IT management to ensure development of efficient application systems utilizing established procedures and methodologies and data policy. Influences the development of data policy.</li><li>
Participates in or leads data-related projects</li><li>
Analyzes, develops, and/or executes specifications for data mapping and transformation processes within and between applications</li><li>
Verifies accuracy of table changes and data transformation processes. Ensures adequacy of test plans and monitors application testing results associated with data transformation processes between applications</li><li>
Utilizes data and/or metrics from applicable systems to review data processes, identify issues, determine resolution and/or escalate problems that require data, system or process improvements.</li></ul><div></div><div>
May perform additional duties as assigned.</div><div>
Defines, publishes and enforces changes to corporate codes.</div><div></div><div>
Reporting Relationship</div><div>
Typically Reports to Manager or above</div><div></div><div>
Skills, Knowledge &amp; Abilities</div><ul><li>
Solid analytical and problem solving skills.</li><li>
Solid communication, interpersonal and presentation skills to work effectively among all levels of internal/external partners/clients.</li><li>
Ability to multitask in a fast-paced dynamic workforce.</li><li>
Ability to work independently as well as in a team environment.</li><li>
Possesses some influence management skills.</li><li>
Skillful at learning new system applications/functions.</li><li>
Readily adapts to change.</li><li>
Relationships with business partners in IT, Finance, Actuarial and Data Stewards helpful in resolution of issue, root cause analysis, and driving result - oriented change.</li></ul><div></div><div>
Education &amp; Experience</div><ul><li>
Bachelor&rsquo;s degree or equivalent work experience</li><li>
Typically a minimum of five to seven years&rsquo; experience in data management, accounting, systems development, data analysis or systems/business analysis as required by position.</li><li>
Typically a minimum of three to five years of project management experience preferred.</li><li>
Advanced computing skills including, but not limited to: MS Office Suite, SQL, PeopleSoft, and business Objects. Basic mainframe knowledge (i.e. Job Control Language (JCL) helpful, but not required.</li><li>
One or more data, insurance or functional certifications such as IIA, DMIP, LIMA, AIDM, CIDM, or CPA helpful but not required.</li><li>
Knowledge of statistical, regulatory and other National Association of Insurance Commissioners (NAIC) information will be required when dealing with external agencies. 
 
#LI-KP1 
#LI-Hybrid</li></ul><div></div><div>
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees &ndash; and their family members &ndash; achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA&rsquo;s benefits, please visit <div>cnabenefits.com</div>.</div><div></div><div>
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact <div>leaveadministration@cna.com</div>.</div></div>

Data Management Consultant

GAS GLOBAL SERVICES

<div>Principal Data Analytics Consultant 
JOB-10046170 
Anticipated Start Date
Mar. 24, 2026 
Location
Houston, TX 
Type of Employment
Contract Hire 
Employer Info
Our client specializes in the engineering and fabrication of rig systems, wellbore technologies, and completion and production solutions 
Job Summary
We are seeking a Principal Data Analytics Consultant with strong Python and Snowflake SQL expertise to build scalable analytics solutions in manufacturing and supply chain environments. The role involves working with ERP/MRP data, developing interactive dashboards, and translating business needs into data-driven insights. Ideal candidates bring hands-on technical execution, cloud and CI/CD experience, and a strong focus on driving business impact.
Job Description<ul><li>
Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver</li><li>
Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences</li><li>
Advanced proficiency in Python and SQL; experience wrangling large relational datasets</li><li>
Strong proficiency with Snowflake as a data platform</li><li>
Strong proficiency in dashboarding and interactive visualizations, including Power BI, SIGMA, Qliqview, or Streamlit</li><li>
Experience deploying enterprise-scale solutions in cloud environments</li><li>
Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly</li><li>
Familiarity with agile development best practices (model training and validation), CI/CD pipeline implementation</li><li>
Able to implement and manage GitHub repositories and automations, including developing automated github workflows to move python projects and Snowflake development (queries, procedures, data structures, and data) from dev to test to prod environments</li><li>
Demonstrated ability to drive business impact and ROI through analytics</li><li>
Capable of executed-level communication and influence</li><li>
Experience leading cross-functional teams across multiple geographies</li><li>
Demonstrated ability to translate business requirements into technical projects that accomplish business objectives and achieve business value</li><li>
Experience developing and deploying scalable enterprise-grade containerized solutions, interactive front-ends, and back-ends using service accounts, APIs, safe handling of developer keys, and development best practices</li><li>
Experience with test-drive development (TDD), deploying project safety into production with roll-back options, and other common development best practices</li></ul>
Communications and Impact:<ul><li>
Translsating business requirements into technical delivery and technical issues into business impacts</li><li>
ROI-driven analytics</li><li>
Multi-geography experience</li><li>
Demonstrated business impact</li></ul>
Business Process Fluency (Manufacturing/Supply Chain)<ul><li>
ERP and MSP systems and data structures</li><li>
Understanding of operational workflows in manufacturing and supply chain (Order-to-cash, Procure-to-pay, Demand-to-deliver)</li><li>
Enterprise=scale process understanding</li></ul> 
Skills Required<ul><li>
Five or more years of professional data science experience in manufacturing and/or supply chain environments</li><li>
Hands-on Snowflake SQL experience</li><li>
Hands-on Python experience</li><li>
Previous experience with Sigma, Qliqview, Streamlit, PowerBI, or similar analytics app development</li><li>
At least 3 years experience working with ERP or MRP Data</li><li>
ERP Implementations for finance or operations and business intelligence experience are highly valued</li><li>
Rapid application development (RAD) experience is highly valued</li><li>
The client will be doing agile sprints to manage projects to develop analytics and code with daily touch-bases, weekly sprint planning, and ad-hoc additional meetings as needed. Some agile project familiarity would be helpful</li></ul>
Deep Technical and Execution Skills:<ul><li>
Advanced Python + Snowflake SQL</li><li>
Snowflake architecture &amp; migration across environments</li><li>
Interactive visualization (PowerBI, SIGMA, Qliqview, or Streamlit)</li><li>
GitHub automation &amp; CI/CD</li><li>
Cloud-native deployments</li><li>
Containerization</li><li>
API/service-account design</li><li>
TDD &amp; rollback strategies</li><li>
Large-scale relational data wrangling</li></ul>
Education/Training/Certifications<ul><li>
Bachelor's degree or higher</li></ul> 
Additional Requirements<ul><li>
Must be able to pass drug screen &amp; criminal background check</li></ul><ul><li>
Work Schedule:</li><li><ul><li>
7:00 am - 4:00 pm; or 8:00 am - 5:00 pm (8 hours a day). Flexible on start and end time</li><li>
Hybrid available: 3 days on-site; 2 days remote per week</li></ul></li></ul> 
Pay Rate/Salary<ul><li>
$110.00 - $120.00/hr. Compensation will be offered within this posted range based on experience, skills, and market factors</li></ul><div><div> 
GAS Global Services LLC is an Equal Opportunity Employer. Employment Decision are made without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factors protected by applicable federal, state or local laws.</div></div></div>

Principal Data Analytics Consultant

<div>
 
 Job Description:
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Lead and support data governance initiatives, ensuring alignment with enterprise data strategy and regulatory compliance.
 </li>
 <li>
 Act as a trusted advisor to business and IT stakeholders, providing guidance on governance frameworks, policies, and best practices.
 </li>
 <li>
 Gather, analyze, and document business requirements for data governance, data cataloging, data quality, and metadata management programs.
 </li>
 <li>
 Collaborate with data stewards, data owners, and technical teams to define roles, responsibilities, and workflows for governance processes.
 </li>
 <li>
 Drive adoption and change management for governance tools and practices across business units.
 </li>
 <li>
 Support implementation and configuration of data governance platforms (e.g., Informatica Axon/EDC, Collibra, Alation).
 </li>
 <li>
 Define data quality rules, metrics, and dashboards; facilitate remediation of data issues.
 </li>
 <li>
 Develop and maintain governance artifacts such as data dictionaries, lineage documentation, and stewardship workflows.
 </li>
 <li>
 Conduct stakeholder workshops, training sessions, and awareness programs to promote governance maturity.
 </li>
 <li>
 Provide insights and recommendations for improving governance processes and operational efficiency.
 </li>
 <li>
 Track program KPIs, prepare status reports, and escalate risks to leadership as needed.
 </li>
 <li>
 Stay informed on industry trends, emerging technologies, and regulatory changes impacting data governance.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Skills Required
 
 
 
 
 
 <ul>
 <li>
 Strong understanding of Data Governance principles, frameworks, and regulatory compliance requirements.
 </li>
 <li>
 Knowledge of data quality concepts, profiling techniques, and remediation processes.
 </li>
 <li>
 Familiarity with data lineage, classification, and stewardship models.
 </li>
 <li>
 Excellent business analysis skills: requirements gathering, stakeholder engagement, and documentation.
 </li>
 <li>
 Ability to translate business needs into technical specifications for governance tools and workflows.
 </li>
 <li>
 Strong communication, facilitation, and presentation skills for cross-functional collaboration.
 </li>
 <li>
 Analytical mindset with problem-solving skills and attention to detail.
 </li>
 <li>
 Exposure to data architecture, data modeling, and enterprise data strategies.
 </li>
 <li>
 Conceptual understanding and hands-on experience of using data cataloging and metadata management tools (e.g., Informatica EDC/Axon, Collibra, Alation).
 </li>
 <li>
 Experience with reporting and visualization tools for tracking governance KPIs (e.g. Excel, Power BI, Tableau).
 </li>
 <li>
 Experience in consultative roles, providing strategic recommendations and influencing senior stakeholders.
 </li>
 <li>
 12-20 years of overall IT experience in Data &amp; Analytics with 8-10 years specifically working on multi-year/E2E/greenfield Data Management (Data Governance, Metadata Management &amp; Cataloging, Data Quality, Master/Reference Data Management) programs &amp; rollouts.
 </li>
 <li>
 Excellent verbal and written communication skill.
 </li>
 <li>
 Highly Desired secondary skill: Experience as a Scrum Master/Project Manager/Program Manager managing Data Governance projects/workstreams, with knowledge of Agile and hybrid delivery models, project planning, tracking &amp; reporting, risks issues dependencies management, stakeholder management.
 </li>
 <li>
 Highly Desired secondary skill: Experience of working with middle-east customers and regulations like NDMO, NDI, PDPL.
 </li>
 <li>
 Highly Desired secondary skill: Experience of Data Privacy regulations and project rollouts.
 </li>
 </ul>
 
 
</div>

Data Governance Consultant

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Note: By applying to this position, your application will be considered for: Arlington, VA; and Seattle, WA. 
 
This position requires that the candidate selected be a U.S. citizen. 
 
At Amazon Web Services (AWS), we&rsquo;re hiring highly technical Data Analytics consultants to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Data and Analytics, Artificial Intelligence (AI) and GenerativeAI (GenAI), Machine Learning (ML), HPC and more.
 
 
You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2) Delivery, which focuses on the accelerated career development of university graduates and early career professionals.
 
 
Our team members work with enterprise customers locally, regionally and domestically. As such, this role has up to 75% travel associated. While many of our customers engage ProServe virtually, there is always the potential that a customer might choose to include travel in their contract.
 
 
Key job responsibilities 
In this role, you will work with our partners, customers and focus on our AWS offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker, Amazon Bedrock, Amazon Q, and Amazon Lex. You will help our customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights.
 
 
The ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of modern data services like DynamoDB, Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon RDS, technologies and other industry data structures and standards.
 
 
About the team 
AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.
 
 
You will also have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams.
 
 
Work/Life Balance
 
Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization&mdash;leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.
 
 
Mentorship &amp; Career Growth
 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Are 18 years of age or older</li><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field</li><li>1+ years of hands-on experience of programming in languages such as Python, Ruby, Go, Swift, Java, .Net, C++, Node.js, or similar object-oriented language.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of machine learning approaches and algorithms</li><li>Experience implementing AWS services in a variety of distributed computing environments</li><li>Experience defining system architectures and exploring technical feasibility tradeoffs</li><li>Experience with AWS technologies</li><li>1+ years of experience of Data platform implementation</li><li>Hands on experience with building data or machine learning pipeline</li><li>Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)</li><li>Current experience with hands-on implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations</li><li>Masters or PhD in Computer Science, Physics, Engineering or Math.</li><li>Hands on experience working on large-scale data science/data analytics projects</li><li>Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.</li><li>Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.</li><li>Experiences developing cloud software services and an understanding of design for scalability, performance and reliability.</li><li>Ability to prototype and evaluate applications and interaction methodologies.</li><li>AWS Certification(s) such as Solutions Architect Associate, Data Analytics Specialty, and/or Machine Learning Specialty</li><li>Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, VA, Arlington - 98,200.00 - 160,000.00 USD annually 
USA, WA, SEATTLE - 98,200.00 - 160,000.00 USD annually 
USA, WA, Seattle - 98,200.00 - 160,000.00 USD annually</div>

Associate Data AnaIytics Consultant

<div>About M&uuml;ller's Solutions:
M&uuml;ller's Solutions is a leading provider of cutting-edge SAP consulting services aimed at helping organizations harness the power of their data. We specialize in innovative, custom solutions designed to meet the unique needs of our clients, ensuring they can achieve their business goals effectively and efficiently.
Job Overview:
We are currently looking for a talented SAP Business Data Cloud Consultant to join our team on a remote basis. In this role, you will be responsible for implementing and managing SAP Business Data Cloud solutions, enabling clients to optimize their data management strategies. You will collaborate with business stakeholders to define data governance frameworks, data architecture, and data quality standards, ensuring the efficient use of data across the organization. 
 
 
Requirements 
Requirements:
<ul><li>Bachelor's degree in Computer Science, Data Management, Information Systems, or a related field.</li>
<li>3 to 5 years of experience working with SAP Business Data Cloud or similar data management platforms.</li>
<li>Proven experience in data governance, data quality management, and data modeling.</li>
<li>Strong knowledge of SAP Business Technology Platform and integration with other SAP solutions.</li>
<li>Experience with data transformation processes, ETL tools, and data visualization tools.</li>
<li>Excellent understanding of cloud-based data architecture and best practices for data management.</li>
<li>Ability to define and implement data governance frameworks to ensure compliance and data integrity.</li>
<li>Strong analytical and problem-solving skills to assess business requirements and develop suitable solutions.</li>
<li>Excellent communication skills to collaborate effectively with clients and stakeholders.</li>
<li>Experience working in a remote environment, demonstrating self-motivation and accountability.</li>
<li>Relevant SAP certifications (e.g., SAP Certified Technology Associate) are a plus.</li> 
</ul> 
 
Benefits 
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

SAP Business Data Cloud Consultant-Remote

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